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Oh, Minsuk; Ylitalo, Kelly R. – American Journal of Health Education, 2023
Background: The role of physical activity (PA) in mitigating fall risk among adults with cardiovascular disease (CVD) is unclear. Purpose: We examined the associations of CVD-PA phenotypes with falls. Methods: Adults [greater than or equal to] 45 years (n = 295,282; N = 130,103,093) from the 2018 Behavioral Risk Factor Surveillance System who…
Descriptors: Heart Disorders, Physical Activity Level, Adults, Older Adults
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Chiu, Chung-Yi; An, Ruopeng – Rehabilitation Research, Policy, and Education, 2016
Purpose: To characterize physical activity patterns among people with disabilities using data from a nationally representative health survey. Method: Individual-level data came from the Behavioral Risk Factor Surveillance System 2011 survey. Pearson's chi-squared tests were conducted to assess the difference in the proportion distribution of…
Descriptors: Disabilities, Physical Activity Level, Individual Characteristics, Statistical Analysis
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Moore, Latetia V.; Harris, Carmen D.; Carlson, Susan A.; Kruger, Judy; Fulton, Janet E. – Research Quarterly for Exercise and Sport, 2012
Purpose: The aim of this study was to examine trends in the prevalence of no leisure-time physical activity (LTPA) from 1988 to 2010. Method: Using the Behavioral Risk Factor Surveillance System data, 35 states and the District of Columbia reported information on no LTPA from 1988 to 1994; all states reported no LTPA from 1996 to 2010. Results: No…
Descriptors: Leisure Time, Physical Activity Level, Incidence, Adults
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Wyatt, Laura C.; Trinh-Shevrin, Chau; Islam, Nadia S.; Kwon, Simona C. – Health Education & Behavior, 2014
Although the New York City Chinese population aged =65 years increased by 50% between 2000 and 2010, the health needs of this population are poorly understood. Approximately 3,001 Chinese individuals from high-density Asian American New York City areas were included in the REACH U.S. Risk Factor Survey; 805 (26.8%) were aged =65 years and…
Descriptors: Health Behavior, Quality of Life, Gender Differences, Risk